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Query suggestion based on user landing pages

Published: 23 July 2007 Publication History

Abstract

This poster investigates a novel query suggestion technique that selects query refinements through a combination of many users' post-query navigation patterns and the query logs of a large search engine. We compare this technique, which uses the queries that retrieve in the top-ranked search results places where searchers end up after post-query browsing (i.e., the landing pages), with an approach based on query refinements from user search sessions extracted from query logs. Our findings demonstrate the effectiveness of using landing pages for the direct generation of query suggestions, as well as the complementary nature of the suggestions it generates with regard to traditional query log based refinement methodologies.

References

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Beeferman, D. and A.L. Berger (2000). Agglomerative clustering of a search engine query log. Proc. KDD, 407--416.
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Broder, A. (2002). Taxonomy of web search. SIGIR Forum
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Cui, H., J.R. Wen, J.Y. Nie, and W. Ma (2002). Probabilistic query expansion using query logs. Proc.of WWW, 325--332.
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Daumé, H. and E. Brill (2004). Web search intent induction via automatic query reformulation. Proc. HLTNAACL, 49--52.
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Vlachos, M., C. Meek, Z. Vagena, and D. Gunopulos (2004). Identification of similarities, periodicities and bursts for online search queries. Proc. of SIGMOD, 131--142.

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  • (2021)Location‐Aware Keyword Query Suggestion Techniques With Artificial Intelligence PerspectiveComputational Analysis and Deep Learning for Medical Care10.1002/9781119785750.ch2(35-51)Online publication date: 13-Aug-2021
  • (2019)Disjunctive Sets of Phrase Queries for Diverse Query SuggestionIEEE/WIC/ACM International Conference on Web Intelligence10.1145/3350546.3352566(449-455)Online publication date: 14-Oct-2019
  • (2019)A ranking method for relaxed queries in book searchProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00090(402-403)Online publication date: 2-Jun-2019
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    Published In

    cover image ACM Conferences
    SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
    July 2007
    946 pages
    ISBN:9781595935977
    DOI:10.1145/1277741
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 23 July 2007

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    Author Tags

    1. landing pages
    2. query log analysis
    3. search engine
    4. search sessions

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    SIGIR07
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    SIGIR07: The 30th Annual International SIGIR Conference
    July 23 - 27, 2007
    Amsterdam, The Netherlands

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2021)Location‐Aware Keyword Query Suggestion Techniques With Artificial Intelligence PerspectiveComputational Analysis and Deep Learning for Medical Care10.1002/9781119785750.ch2(35-51)Online publication date: 13-Aug-2021
    • (2019)Disjunctive Sets of Phrase Queries for Diverse Query SuggestionIEEE/WIC/ACM International Conference on Web Intelligence10.1145/3350546.3352566(449-455)Online publication date: 14-Oct-2019
    • (2019)A ranking method for relaxed queries in book searchProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00090(402-403)Online publication date: 2-Jun-2019
    • (2018)Query Recommendation Using Topic Modeling and Word EmbeddingsProceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition10.1145/3268866.3268873(86-92)Online publication date: 18-Aug-2018
    • (2018)Ranking Methods for Query Relaxation in Book Search2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-51(466-473)Online publication date: Dec-2018
    • (2017)Search Query Recommendations in Web Information Retrieval Using Query LogsWeb Usage Mining Techniques and Applications Across Industries10.4018/978-1-5225-0613-3.ch008(199-222)Online publication date: 2017
    • (2017)An effective suggestion method for keyword search of databasesWorld Wide Web10.1007/s11280-016-0413-120:4(729-747)Online publication date: 1-Jul-2017
    • (2017)Learning to evaluate and recommend query in restaurant search systemsInformation Systems and e-Business Management10.1007/s10257-016-0309-815:1(51-68)Online publication date: 1-Feb-2017
    • (2016)Enhancing keyword suggestion of web serach by leveraging microblog dataJournal of Web Engineering10.5555/3177210.317721115:3-4(181-202)Online publication date: 1-Jul-2016
    • (2016)Identifying search keywords for finding relevant social media postsProceedings of the Thirtieth AAAI Conference on Artificial Intelligence10.5555/3016100.3016329(3052-3058)Online publication date: 12-Feb-2016
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